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EbookBell Team
4.0
46 reviewsISBN 10: 0817643656
ISBN 13: 9780817643652
Author: Prem C Consul, Felix Famoye, Samuel Kotz
Lagrangian expansions can be used to obtain numerous useful probability models, which have been applied to real life situations including, but not limited to: branching processes, queuing processes, stochastic processes, environmental toxicology, diffusion of information, ecology, strikes in industries, sales of new products, and production targets for optimum profits. This book presents a comprehensive, systematic treatment of the class of Lagrangian probability distributions, along with some of its families, their properties, and important applications.
Graduate students and researchers with a good knowledge of standard statistical techniques and an interest in Lagrangian probability distributions will find this work valuable. It may be used as a reference text or in courses and seminars on Distribution Theory and Lagrangian Distributions. Applied scientists and researchers in environmental statistics, reliability, sales management, epidemiology, operations research, optimization in manufacturing and marketing, and infectious disease control will benefit immensely from the various applications in the book.
Front Matter
Preliminary Information
Lagrangian Probability Distributions
Properties of General Lagrangian Distributions
Quasi-Probability Models
Some Urn Models
Development of Models and Applications
Modified Power Series Distributions
Some Basic Lagrangian Distributions
Generalized Poisson Distribution
Generalized Negative Binomial Distribution
Generalized Logarithmic Series Distribution
Lagrangian Katz Distribution
Random Walks and Jump Models
Bivariate Lagrangian Distributions
Multivariate Lagrangian Distributions
Computer Generation of Lagrangian Variables
Back Matter
lagrangian examples
hypergeometric probability distribution function
variational principle lagrangian
uniform probability law
lagrangian distributions
is lagrangian mechanics useful
Tags: Prem C Consul, Felix Famoye, Samuel Kotz, Lagrangian, probability